We develop a quantum network simulation framework designed for integration into tactical simulation tools. It extends the quantum networking tool SQUANCH with realistic fiber and free-space channel models and implements subroutines for simulating entanglement-based QKD. We benchmark our framework using a published free-space QKD experiment.
We develop a quantum network simulation framework designed for integration into tactical simulation tools. It extends the quantum networking tool SQUANCH with realistic fiber and free-space channel models and implements subroutines for simulating entanglement-based QKD. We benchmark our framework using a published free-space QKD experiment.
Quantum networks exploit the unique properties of quantum mechanics to enable communication and networking tasks unavailable to existing distributed classical systems. Recently, the research community has focused considerable effort on the simulation of large-scale quantum networks with the ultimate goal of understanding their general properties, developing technical standards, and estimating their expected performance. However, comparatively little effort has been spent considering how quantum networks may impact tactical scenarios of military relevance where both quantum and classical resources may be severely constrained. Here, we develop a custom framework, called QuanTACT, for quantum network simulation explicitly designed for future integration into existing tactical simulation tools. In particular, our framework extends the existing quantum networking tool, SQUANCH, to include channel models required to simulate deployed fiber environments. Furthermore, we implement the additional subroutines needed to simulate entanglement-based quantum key distribution (QKD) and use published results from various field-deployed QKD experiments to benchmark the performance of our framework.
Quantum networks in their most general configuration consist of nodes, containing sources, detectors, memories, and logic gates, connected by both quantum and classical channels. Quantum networks leverage the unique properties of quantum mechanics to enable "beyond classical" communication, sensing, and computing protocols. The research community has recently emphasized computational simulation of these networks as an approach to gauging their performance, understanding their properties, and considering the impact of technical standards. Despite this, the implications of quantum networks in military contexts with limited resources remains underexplored. We review a recently introduced quantum network simulation framework that we developed, named QuanTACT, that is specifically tailored for integration into existing tactical simulation tools, such as the Extendable Mobile Ad hoc Network Emulator (EMANE). The QuanTACT framework is built from the SQUANCH quantum network simulation tool by adding quantum channel models for optical fiber and various subroutines required for entanglement-based QKD simulation such as key sifting, information reconciliation, and privacy amplification. Our choice of SQUANCH as opposed to other quantum network simulation tools is due to the agent-based model utilized by SQUANCH which allows for fully parallelized simulations with multiple agents running their own processes. This distributed architecture is, by design, consistent with EMANE and facilitates future integration. Building off of benchmark results based on field-deployed QKD experiments, we investigate the computational scaling properties of this system for linear chains of nodes that exchange keys via an XOR operation.
Previously, we reported a framework capable of simulating classical transmission systems and QKD based on weak-coherent prepare-and-measure protocols. The framework’s modular architecture provides a rich library of models for various system components (e.g., lasers, modulators, fibers). QKD components include singlephoton detectors, transmitter- and receiver designs, and performance estimators. For realistic system designs, component models can account for various imperfections (e.g., laser model with linewidth, RIN, side modes). Here, we present further developments of the framework and its applications. We applied our simulation tool to investigate a satellite-based BB84 system in the downlink scenario. For fiber-based applications in a coexistence scenario, we studied the usage of multicore fibers to better separate classical and quantum channels, and various PON configurations. The system performance was estimated by analyzing the QBER dependence on the classical channel power due to Raman scattering. Furthermore, we discuss the simulation results of a Gaussian-modulated CV-QKD system with a realistic model of a true local oscillator. We studied how the utilization of DSP techniques improves the system’s performance. We evaluated the secret key rate for different transmission distances.
In recent years, fiber-based quantum key distribution systems have emerged in a growing number of sectors. However, fiber optic links limit the distance that can be covered in point-to-point connections, so developments in free-space quantum communications are important. These can be used to establish free-space QKD links between buildings or to connect remote ground stations using satellite systems. In our research, we are developing an entanglement-based free-space QKD system based and we are simulating quantum communication satellite systems based on entanglement.
Quantum Key Distribution (QKD) offers a fundamentally secure method for key exchange, grounded in the principles of quantum mechanics rather than computational complexity. As advancements in quantum computing threaten classical cryptographic systems (such as RSA) QKD presents itself as a crucial technology for future secure communications. Among the primary challenges for global-scale QKD is the limited range of optical fiber channels, making satellite-based free-space optical links an attractive alternative. QKD presents unique constraints related to the short and unreliable communication windows, due to atmospheric conditions and the presence of sunlight, which makes the real time operation of QKD constellations almost impossible. Traditional configurations offering instantaneous global coverage, such as Walker constellations, are not necessary for QKD networks and other constellation designs may be explored. In this work, we present as an alternative a two-height, single orbital plane constellation, which facilitates regular and extended inter-satellite visibility, enabling the constellation to function as a virtual trusted node and increasing network capacity and flexibility. The main technical contribution is the development of a simulation tool designed to evaluate and optimize satellite QKD constellations. The simulator allows researchers and mission planners to assess key generation rates and overall system performance, helping to reduce the risks, costs, and uncertainties involved in satellite deployment. Our approach provides a powerful framework for advancing the development of scalable and efficient global QKD networks.
Quantum key distribution (QKD) can provide secure key material between two parties without relying on assumptions about the computational power of an eavesdropper. QKD is performed over quantum links and quantum networks, systems which are resource-intensive to deploy and maintain. To evaluate and optimize performance prior to, during, and after deployment, accurate simulations with attention to physical realism are necessary. Quantum network simulators can simulate a variety of quantum and classical protocols and can assist in quantum network design and optimization by offering realism and flexibility beyond mathematical models which rely on simplifying assumptions and can be intractable to solve as network complexity increases. We use a versatile discrete event quantum network simulator to simulate the entanglement-based QKD protocol BBM92 and compare it to our experimental implementation and to existing theory. We find the discrete event quantum network simulator can match experimental key rates and error rates with a lower mean squared error than analytical theory. Furthermore, we simulate secure key rates in a repeater key distribution scenario for which no experimental implementations exist and find agreement between simulation and analytical theory. Hence, we demonstrate discrete event simulators can meet needs in quantum network simulations which cannot be filled solely by experiment or theory: discrete event simulators can accurately simulate QKD protocols and match experiments in regimes where theoretical models may require more simplifying assumptions, and they can match theoretical models in the opposite scenario where experiments have not yet been performed but theoretical models exist.